💻 Deploying Local LLMs on Your Own Infrastructure
During a Xecut Hackerspace session, Evgeny Novikov analyzed the issues surrounding the transition from using cloud APIs (OpenAI, Anthropic) to local hosting to ensure data privacy and cost control. Hardware levels were discussed: from consumer laptops with quantized models to server solutions based on NVIDIA A100/H100.
🌍 The growing demand for local solutions (On-premise AI) is driving the development of specialized hardware and tools for efficient inference on private infrastructure.
👤 The ability to run powerful models without transferring confidential information to third-party companies and without constant token payments.
Source 1: https://www.youtube.com/watch?v=u0Y0fRci_5o